From ae6801a7d5d28e764a1050ff76630c51482530a3 Mon Sep 17 00:00:00 2001
From: jinye_huang <jinye_huang@foxmail.com>
Date: Thu, 10 Jul 2025 16:10:14 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=94=B9=E4=BA=86json=E6=8F=90?=
 =?UTF-8?q?=E5=8F=96=E7=9A=84=E6=A8=A1=E5=9D=97=EF=BC=8C=E5=A2=9E=E5=8A=A0?=
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MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 core/__pycache__/__init__.cpython-312.pyc     | Bin 741 -> 738 bytes
 core/__pycache__/__init__.cpython-38.pyc      | Bin 0 -> 739 bytes
 core/ai/__pycache__/__init__.cpython-312.pyc  | Bin 266 -> 263 bytes
 core/ai/__pycache__/__init__.cpython-38.pyc   | Bin 0 -> 244 bytes
 core/ai/__pycache__/ai_agent.cpython-312.pyc  | Bin 9182 -> 9146 bytes
 core/ai/__pycache__/ai_agent.cpython-38.pyc   | Bin 0 -> 5756 bytes
 core/ai/ai_agent.py                           |  19 ++--
 .../__pycache__/__init__.cpython-312.pyc      | Bin 580 -> 577 bytes
 .../__pycache__/__init__.cpython-38.pyc       | Bin 0 -> 579 bytes
 .../__pycache__/manager.cpython-312.pyc       | Bin 9232 -> 9189 bytes
 .../config/__pycache__/manager.cpython-38.pyc | Bin 0 -> 5864 bytes
 .../config/__pycache__/models.cpython-312.pyc | Bin 8840 -> 8832 bytes
 core/config/__pycache__/models.cpython-38.pyc | Bin 0 -> 7068 bytes
 .../__pycache__/__init__.cpython-312.pyc      | Bin 707 -> 704 bytes
 .../__pycache__/__init__.cpython-38.pyc       | Bin 0 -> 805 bytes
 .../__pycache__/exceptions.cpython-312.pyc    | Bin 12585 -> 12572 bytes
 .../__pycache__/exceptions.cpython-38.pyc     | Bin 0 -> 9228 bytes
 docs/开发指南.md                              |   2 +-
 scripts/generate_vibrant_poster.py            |   6 +-
 utils/__pycache__/__init__.cpython-312.pyc    | Bin 473 -> 470 bytes
 utils/__pycache__/__init__.cpython-38.pyc     | Bin 0 -> 464 bytes
 utils/__pycache__/file_io.cpython-312.pyc     | Bin 8241 -> 10437 bytes
 utils/__pycache__/file_io.cpython-38.pyc      | Bin 0 -> 5143 bytes
 utils/__pycache__/pipeline.cpython-312.pyc    | Bin 6912 -> 6895 bytes
 utils/__pycache__/pipeline.cpython-38.pyc     | Bin 0 -> 4091 bytes
 utils/__pycache__/prompts.cpython-312.pyc     | Bin 25358 -> 25294 bytes
 utils/__pycache__/prompts.cpython-38.pyc      | Bin 0 -> 14750 bytes
 utils/file_io.py                              |  88 +++++++++++++++++-
 utils/poster/text_generator.py                |  25 +----
 .../__pycache__/__init__.cpython-312.pyc      | Bin 150 -> 147 bytes
 .../tweet/__pycache__/__init__.cpython-38.pyc | Bin 0 -> 141 bytes
 .../content_generator.cpython-312.pyc         | Bin 4981 -> 4830 bytes
 .../content_judger.cpython-312.pyc            | Bin 6156 -> 5680 bytes
 .../topic_generator.cpython-312.pyc           | Bin 6457 -> 6449 bytes
 .../topic_generator.cpython-38.pyc            | Bin 0 -> 3908 bytes
 .../__pycache__/topic_parser.cpython-312.pyc  | Bin 3182 -> 2538 bytes
 utils/tweet/content_generator.py              |  13 ++-
 utils/tweet/content_judger.py                 |  55 +++++------
 utils/tweet/topic_generator.py                |   2 +-
 utils/tweet/topic_parser.py                   |  59 +++++-------
 40 files changed, 157 insertions(+), 112 deletions(-)
 create mode 100644 core/__pycache__/__init__.cpython-38.pyc
 create mode 100644 core/ai/__pycache__/__init__.cpython-38.pyc
 create mode 100644 core/ai/__pycache__/ai_agent.cpython-38.pyc
 create mode 100644 core/config/__pycache__/__init__.cpython-38.pyc
 create mode 100644 core/config/__pycache__/manager.cpython-38.pyc
 create mode 100644 core/config/__pycache__/models.cpython-38.pyc
 create mode 100644 core/exception/__pycache__/__init__.cpython-38.pyc
 create mode 100644 core/exception/__pycache__/exceptions.cpython-38.pyc
 create mode 100644 utils/__pycache__/__init__.cpython-38.pyc
 create mode 100644 utils/__pycache__/file_io.cpython-38.pyc
 create mode 100644 utils/__pycache__/pipeline.cpython-38.pyc
 create mode 100644 utils/__pycache__/prompts.cpython-38.pyc
 create mode 100644 utils/tweet/__pycache__/__init__.cpython-38.pyc
 create mode 100644 utils/tweet/__pycache__/topic_generator.cpython-38.pyc

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index 12b4e3e8e68cd1d4ad8ebd4835a12d651a660e63..9aed1f4446900be3257961c20168d89c5e98ceef 100644
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delta 73
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index a450e56d3ff5c4f7d0ad18a06c3844dbd13e5677..e820027445df00f15c31b5d9c61016fb05188109 100644
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diff --git a/core/ai/ai_agent.py b/core/ai/ai_agent.py
index ff20913..0f841a1 100644
--- a/core/ai/ai_agent.py
+++ b/core/ai/ai_agent.py
@@ -99,11 +99,8 @@ class AIAgent:
                 time_cost = time.time() - start_time
 
                 if use_stream:
-                    # 流式处理暂时不返回token计数和时间，需要更复杂的实现
-                    # 这里返回一个空的生成器，但实际逻辑在 _process_stream 中
-                    # 为了统一返回类型，我们可能需要重新设计这里
-                    # 简化处理：流式模式下，我们返回拼接后的完整文本
-                    full_text = "".join([chunk for chunk in self._process_stream(response)])
+                    # 流式处理需要异步迭代
+                    full_text = await self._process_stream(response)
                     output_tokens = self.count_tokens(full_text)
                     logger.info(f"{stage_info} 任务完成，耗时 {time_cost:.2f} 秒. 输出token数: {output_tokens}")
                     return full_text, input_tokens, output_tokens, time_cost
@@ -130,16 +127,18 @@ class AIAgent:
 
         raise AIModelError(f"AI模型调用在 {self.config.max_retries} 次重试后失败") from last_exception
 
-    def _process_stream(self, response):
-        """处理流式响应"""
+    async def _process_stream(self, response):
+        """异步处理流式响应"""
         full_response = []
-        for chunk in response:
+        async for chunk in response:
             content = chunk.choices[0].delta.content
             if content:
                 full_response.append(content)
-                yield content
+                # 如果需要在这里实现真正的流式处理，可以使用回调函数或其他方式
         
-        logger.info(f"流式响应接收完成，总长度: {len(''.join(full_response))}")
+        full_text = "".join(full_response)
+        logger.info(f"流式响应接收完成，总长度: {len(full_text)}")
+        return full_text
 
     def count_tokens(self, text: str) -> int:
         """
diff --git a/core/config/__pycache__/__init__.cpython-312.pyc b/core/config/__pycache__/__init__.cpython-312.pyc
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literal 0
HcmV?d00001

diff --git a/core/exception/__pycache__/__init__.cpython-312.pyc b/core/exception/__pycache__/__init__.cpython-312.pyc
index c86fc1c2f5cc908e627429c7a709979435f72c71..43653d9cce9236c5a99e889c9340929e92cd288a 100644
GIT binary patch
delta 58
zcmX@idVrPtG%qg~0}x0><!|J+V3Ib~FUrp^(GMv~EKALC&d)1J%`0&(N=+=uFPfal
MB+YnhaxIe^0Oa%%FaQ7m

delta 61
zcmX@WdYF~_G%qg~0}wdB$l1tk!6av)UzDF;qMuk=lAn^JTasI#AL8sBALJSw5)|qj
PGC7V(n(^1<Dke7oD}WN#

diff --git a/core/exception/__pycache__/__init__.cpython-38.pyc b/core/exception/__pycache__/__init__.cpython-38.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..19c596fe9eec116fa4c465bf28268e4a918e4b30
GIT binary patch
literal 805
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literal 0
HcmV?d00001

diff --git a/core/exception/__pycache__/exceptions.cpython-312.pyc b/core/exception/__pycache__/exceptions.cpython-312.pyc
index 9453e30aa01c883e1d8c2534a421a3f0a744fef6..8a3c146c7036b1773f17651e7c96d32236e6d1c6 100644
GIT binary patch
delta 120
zcmZ3PG$)DsG%qg~0}x0><!|JUXOTA7FUrp^(GMv~EKALC&d)1J%`0&(N=+=uFWTI}
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delta 173
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diff --git a/core/exception/__pycache__/exceptions.cpython-38.pyc b/core/exception/__pycache__/exceptions.cpython-38.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..23d39134b9715ef493777bd2b9d318d3537acea3
GIT binary patch
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diff --git a/docs/开发指南.md b/docs/开发指南.md
index bc7844b..5dc3c91 100644
--- a/docs/开发指南.md
+++ b/docs/开发指南.md
@@ -222,7 +222,7 @@ async def generate_content_for_topic(self, topic: Dict[str, Any]) -> Dict[str, A
     raw_result = await self.ai_agent.generate_text(...)
     
     # 解析和保存结果
-    content_data = json.loads(raw_result)
+    content_data = json_repair.loads(raw_result)
     self.output_manager.save_json(content_data, "article.json", ...)
     
     return content_data
diff --git a/scripts/generate_vibrant_poster.py b/scripts/generate_vibrant_poster.py
index 50e4544..35a2a69 100644
--- a/scripts/generate_vibrant_poster.py
+++ b/scripts/generate_vibrant_poster.py
@@ -8,13 +8,13 @@
 import os
 import sys
 import json
+import json_repair
 import random
 import asyncio
 import argparse
 import logging
 import re
 from datetime import datetime
-
 # 将项目根目录添加到Python路径中
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
@@ -34,7 +34,7 @@ def read_data_file(file_path: str):
             
             # 尝试解析为标准JSON
             try:
-                return json.loads(content)
+                return json_repair.loads(content)
             except json.JSONDecodeError:
                 # 如果不是标准JSON，尝试解析为类JSON格式
                 logger.info(f"文件 {file_path} 不是标准JSON格式，尝试其他解析方式...")
@@ -220,7 +220,7 @@ async def generate_info_with_llm(ai_agent: AIAgent, scenic_info: dict, product_i
             
             if json_start >= 0 and json_end > json_start:
                 json_str = response[json_start:json_end]
-                content_dict = json.loads(json_str)
+                content_dict = json_repair.loads(json_str)
                 logger.info(f"LLM成功生成内容: {content_dict}")
                 
                 # 添加默认的按钮文本和分页信息
diff --git a/utils/__pycache__/__init__.cpython-312.pyc b/utils/__pycache__/__init__.cpython-312.pyc
index a8327b93275c53d743a8502470a1fd845d6a16dc..ba88289a07cabed7e0e77b9f41524be6cc0baf07 100644
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delta 74
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diff --git a/utils/__pycache__/__init__.cpython-38.pyc b/utils/__pycache__/__init__.cpython-38.pyc
new file mode 100644
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diff --git a/utils/__pycache__/pipeline.cpython-312.pyc b/utils/__pycache__/pipeline.cpython-312.pyc
index 77776a406427d50bf58022b583b58adf95f8eea8..96e5dfd7fbbafb2ffcc087e0c8fb9070a62a00c8 100644
GIT binary patch
delta 105
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delta 122
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diff --git a/utils/__pycache__/pipeline.cpython-38.pyc b/utils/__pycache__/pipeline.cpython-38.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..304b801b2967aeaf0d3a37ff6a9d050dec8f456c
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diff --git a/utils/__pycache__/prompts.cpython-312.pyc b/utils/__pycache__/prompts.cpython-312.pyc
index 8a9ffe9cba0509e63d4791ca1e9b77f3c216224a..d2dde44b626440e80bb54b5fcccefb2b074f3120 100644
GIT binary patch
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diff --git a/utils/__pycache__/prompts.cpython-38.pyc b/utils/__pycache__/prompts.cpython-38.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..4149402cf2b65441b85a7d57d29a087b798446e1
GIT binary patch
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HcmV?d00001

diff --git a/utils/file_io.py b/utils/file_io.py
index fe52fde..947ed54 100644
--- a/utils/file_io.py
+++ b/utils/file_io.py
@@ -8,6 +8,7 @@
 import os
 import random
 import json
+import json_repair
 import logging
 from pathlib import Path
 from typing import Optional, List, Dict, Any
@@ -38,7 +39,7 @@ class ResourceLoader:
         if content is None:
             return None
         try:
-            return json.loads(content)
+            return json_repair.loads(content)
         except json.JSONDecodeError as e:
             logger.error(f"解析JSON文件 '{file_path}' 失败: {e}")
             return None
@@ -133,4 +134,87 @@ class OutputManager:
         """完成运行的最终操作"""
         logger.info(f"Finalizing run: {self.run_id}")
         # 目前没有特殊操作，但可以用于未来的扩展，如创建清单文件
-        pass 
\ No newline at end of file
+        pass 
+    
+
+def process_llm_json_text(text: Any) -> Optional[Dict[str, Any]]:
+    """
+    处理LLM返回的JSON字符串，支持多种格式提取：
+    1. 提取</think>后的内容
+    2. 提取```json和```之间的内容
+    3. 尝试直接解析整个文本
+    4. 使用json_repair修复格式问题
+    
+    Args:
+        text: LLM返回的原始文本或已解析的对象
+        
+    Returns:
+        解析后的JSON对象，解析失败则返回None
+    """
+    # 如果输入已经是字典类型，直接返回
+    if isinstance(text, dict):
+        return text
+        
+    # 如果输入是列表类型，且要求返回字典，则返回None
+    if isinstance(text, list):
+        logger.warning("输入是列表类型，但期望返回字典类型")
+        return None
+        
+    # 确保输入是字符串类型
+    if not isinstance(text, str):
+        try:
+            text = str(text)
+        except Exception as e:
+            logger.error(f"无法将输入转换为字符串: {e}")
+            return None
+    
+    if not text or not text.strip():
+        logger.warning("收到空的LLM响应")
+        return None
+        
+    # 存储可能的JSON文本
+    json_candidates = []
+    
+    # 1. 尝试提取</think>后的内容
+    if "</think>" in text:
+        think_parts = text.split("</think>", 1)
+        if len(think_parts) > 1:
+            json_candidates.append(think_parts[1].strip())
+    
+    # 2. 尝试提取```json和```之间的内容
+    json_code_blocks = []
+    # 匹配```json和```之间的内容
+    import re
+    json_blocks = re.findall(r"```(?:json)?\s*([\s\S]*?)```", text)
+    if json_blocks:
+        json_candidates.extend([block.strip() for block in json_blocks])
+    
+    # 3. 直接使用json_repair解析
+    try:
+        return json_repair.loads(text)
+    except Exception:
+        pass
+    
+    # 4. 添加原始文本作为候选
+    json_candidates.append(text.strip())
+    
+    # 尝试解析每个候选文本
+    for candidate in json_candidates:
+        # 直接尝试解析
+        try:
+            import json
+            return json.loads(candidate)
+        except json.JSONDecodeError:
+            pass
+        
+        # 使用json_repair尝试修复
+        try:
+            import json_repair
+            return json_repair.loads(candidate)
+        except Exception:
+            continue
+    
+    # 所有尝试都失败，记录错误并返回None
+    logger.error(f"无法解析LLM返回的JSON，尝试了{len(json_candidates)}种提取方式")
+    logger.debug(f"原始响应: {text[:200]}...")  # 只记录前200个字符避免日志过大
+    return None
diff --git a/utils/poster/text_generator.py b/utils/poster/text_generator.py
index 340605f..3d5d672 100644
--- a/utils/poster/text_generator.py
+++ b/utils/poster/text_generator.py
@@ -9,7 +9,7 @@ import json
 from typing import Dict, Any, Optional, List
 
 from core.ai import AIAgent
-
+from utils.file_io import ResourceLoader, process_llm_json_text
 logger = logging.getLogger(__name__)
 
 class PosterContentGenerator:
@@ -73,28 +73,9 @@ class PosterContentGenerator:
                 self.logger.error("AI未能返回任何内容。")
                 return None
 
-            # 预处理并解析JSON
-            return self._parse_json_response(raw_response)
+            # 使用通用JSON解析函数处理响应
+            return process_llm_json_text(raw_response)
 
         except Exception as e:
             self.logger.error(f"调用AI生成文案时发生严重错误: {e}", exc_info=True)
-            return None
-
-    def _parse_json_response(self, text: str) -> Optional[Dict[str, Any]]:
-        """
-        从AI返回的文本中提取并解析JSON。
-        """
-        try:
-            # 找到第一个 '{' 和最后一个 '}' 来提取JSON字符串
-            start_index = text.find('{')
-            end_index = text.rfind('}')
-            if start_index != -1 and end_index != -1:
-                json_str = text[start_index : end_index + 1]
-                return json.loads(json_str)
-            else:
-                self.logger.error("在AI响应中未找到有效的JSON对象。")
-                return None
-        except json.JSONDecodeError as e:
-            self.logger.error(f"解析AI返回的JSON失败: {e}")
-            self.logger.debug(f"原始响应文本: {text}")
             return None 
\ No newline at end of file
diff --git a/utils/tweet/__pycache__/__init__.cpython-312.pyc b/utils/tweet/__pycache__/__init__.cpython-312.pyc
index 106c7c4a703315471c01f58628713998d547c0dc..c939d6f85b687bd965895f870af3ada839b5f081 100644
GIT binary patch
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diff --git a/utils/tweet/__pycache__/__init__.cpython-38.pyc b/utils/tweet/__pycache__/__init__.cpython-38.pyc
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GIT binary patch
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diff --git a/utils/tweet/__pycache__/content_generator.cpython-312.pyc b/utils/tweet/__pycache__/content_generator.cpython-312.pyc
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GIT binary patch
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diff --git a/utils/tweet/__pycache__/content_judger.cpython-312.pyc b/utils/tweet/__pycache__/content_judger.cpython-312.pyc
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GIT binary patch
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diff --git a/utils/tweet/__pycache__/topic_generator.cpython-38.pyc b/utils/tweet/__pycache__/topic_generator.cpython-38.pyc
new file mode 100644
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diff --git a/utils/tweet/__pycache__/topic_parser.cpython-312.pyc b/utils/tweet/__pycache__/topic_parser.cpython-312.pyc
index 339c4fe6cc0746d8f36fe403f1c0ebcda5258881..3e72e298af3f6556c5b27ce7e67cf21143bcb009 100644
GIT binary patch
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diff --git a/utils/tweet/content_generator.py b/utils/tweet/content_generator.py
index d2dbb61..c6adef8 100644
--- a/utils/tweet/content_generator.py
+++ b/utils/tweet/content_generator.py
@@ -12,7 +12,7 @@ from typing import Dict, Any
 from core.ai import AIAgent
 from core.config import ConfigManager, GenerateTopicConfig, GenerateContentConfig
 from utils.prompts import ContentPromptBuilder
-from utils.file_io import OutputManager
+from utils.file_io import OutputManager, process_llm_json_text
 
 logger = logging.getLogger(__name__)
 
@@ -67,7 +67,7 @@ class ContentGenerator:
             raw_result, _, _, _ = await self.ai_agent.generate_text(
                 system_prompt=system_prompt,
                 user_prompt=user_prompt,
-                use_stream=False,
+                use_stream=True,
                 stage="内容生成",
                 **model_params
             )
@@ -77,12 +77,11 @@ class ContentGenerator:
             return {"error": str(e)}
 
         # 3. 解析和保存结果
-        try:
-            # 假设结果是一个JSON字符串
-            content_data = json.loads(raw_result)
+        content_data = process_llm_json_text(raw_result)
+        if content_data:
             self.output_manager.save_json(content_data, "article.json", subdir=output_dir.name)
             logger.info(f"成功为选题 {topic_index} 生成并保存内容。")
             return content_data
-        except json.JSONDecodeError as e:
-            logger.error(f"解析内容JSON失败 for {topic_index}: {e}")
+        else:
+            logger.error(f"解析内容JSON失败 for {topic_index}")
             return {"error": "JSONDecodeError", "raw_content": raw_result} 
\ No newline at end of file
diff --git a/utils/tweet/content_judger.py b/utils/tweet/content_judger.py
index 71121a1..fe8e37b 100644
--- a/utils/tweet/content_judger.py
+++ b/utils/tweet/content_judger.py
@@ -7,12 +7,12 @@
 
 import logging
 import json
-from json_repair import loads as json_repair_loads
 from typing import Dict, Any
 
 from core.ai import AIAgent
 from core.config import ConfigManager, GenerateTopicConfig, GenerateContentConfig
 from utils.prompts import JudgerPromptBuilder
+from utils.file_io import process_llm_json_text
 
 logger = logging.getLogger(__name__)
 
@@ -55,13 +55,12 @@ class ContentJudger:
         
         # 从原始内容中提取tags
         original_tags = []
-        try:
-            original_content = json_repair_loads(generated_content)
-            if isinstance(original_content, dict) and "tags" in original_content:
-                original_tags = original_content.get("tags", [])
-                logger.info(f"从原始内容中提取到标签: {original_tags}")
-        except Exception as e:
-            logger.warning(f"从原始内容提取标签失败: {e}")
+        original_content = process_llm_json_text(generated_content)
+        if original_content and isinstance(original_content, dict) and "tags" in original_content:
+            original_tags = original_content.get("tags", [])
+            logger.info(f"从原始内容中提取到标签: {original_tags}")
+        else:
+            logger.warning("从原始内容提取标签失败")
         
         # 1. 构建提示
         system_prompt = self.prompt_builder.get_system_prompt()
@@ -91,7 +90,7 @@ class ContentJudger:
             raw_result, _, _, _ = await self.ai_agent.generate_text(
                 system_prompt=system_prompt,
                 user_prompt=user_prompt,
-                use_stream=False,
+                use_stream=True,
                 stage="内容审核",
                 **model_params
             )
@@ -105,25 +104,21 @@ class ContentJudger:
             return {"judge_success": False, "error": str(e)}
 
         # 3. 解析结果
-        try:
-            judged_data = json_repair_loads(raw_result)
-            if isinstance(judged_data, dict) and "title" in judged_data and "content" in judged_data:
-                judged_data["judge_success"] = True
+        judged_data = process_llm_json_text(raw_result)
+        if judged_data and isinstance(judged_data, dict) and "title" in judged_data and "content" in judged_data:
+            judged_data["judge_success"] = True
+            
+            # 直接使用原始内容中的标签
+            if original_tags:
+                judged_data["tags"] = original_tags
+            # 如果原始内容中没有标签，则使用默认标签
+            logger.info(f"内容审核成功完成，使用标签: {judged_data.get('tags', [])}")
+            
+            # 保存审核后的内容
+            if self.output_manager:
+                self.output_manager.save_json(judged_data, f"{topic_dir}/article_judged.json")
                 
-                # 直接使用原始内容中的标签
-                if original_tags:
-                    judged_data["tags"] = original_tags
-                # 如果原始内容中没有标签，则使用默认标签
-                logger.info(f"内容审核成功完成，使用标签: {judged_data.get('tags', [])}")
-                
-                # 保存审核后的内容
-                if self.output_manager:
-                    self.output_manager.save_json(judged_data, f"{topic_dir}/article_judged.json")
-                    
-                return judged_data
-            else:
-                logger.warning(f"审核响应JSON格式不正确或缺少键: {judged_data}")
-                return {"judge_success": False, "error": "Invalid JSON response", "raw_response": raw_result}
-        except (json.JSONDecodeError, ValueError) as e:
-            logger.error(f"解析审核响应JSON失败: {e}")
-            return {"judge_success": False, "error": "JSONDecodeError", "raw_response": raw_result}
\ No newline at end of file
+            return judged_data
+        else:
+            logger.warning(f"审核响应JSON格式不正确或缺少键")
+            return {"judge_success": False, "error": "Invalid JSON response", "raw_response": raw_result}
\ No newline at end of file
diff --git a/utils/tweet/topic_generator.py b/utils/tweet/topic_generator.py
index e12b720..681f742 100644
--- a/utils/tweet/topic_generator.py
+++ b/utils/tweet/topic_generator.py
@@ -71,7 +71,7 @@ class TopicGenerator:
             raw_result, _, _, _ = await self.ai_agent.generate_text(
                 system_prompt=system_prompt,
                 user_prompt=user_prompt,
-                use_stream=False, # 选题生成通常不需要流式输出
+                use_stream=True, # 选题生成通常不需要流式输出
                 stage="选题生成",
                 **model_params
             )
diff --git a/utils/tweet/topic_parser.py b/utils/tweet/topic_parser.py
index aadbd26..e434fe3 100644
--- a/utils/tweet/topic_parser.py
+++ b/utils/tweet/topic_parser.py
@@ -7,9 +7,8 @@ AI响应解析器模块
 
 import logging
 import json
-import re
 from typing import List, Dict, Any
-from json_repair import loads as json_repair_loads
+from utils.file_io import process_llm_json_text
 
 logger = logging.getLogger(__name__)
 
@@ -32,40 +31,28 @@ class TopicParser:
         """
         logger.info("开始解析AI生成的选题...")
         
-        # 1. 移除AI思考过程的 <think> 块
-        if "</think>" in raw_text:
-            raw_text = raw_text.split("</think>", 1)[-1]
+        # 使用通用JSON解析函数解析原始文本
+        parsed_json = process_llm_json_text(raw_text)
         
-        # 2. 移除Markdown代码块标记 (e.g., ```json ... ```)
-        cleaned_text = re.sub(r'```json\s*|\s*```', '', raw_text.strip(), flags=re.MULTILINE)
-
-        if not cleaned_text:
-            logger.error("移除元数据后，解析内容为空")
+        if not parsed_json:
+            logger.error("解析AI响应失败，无法获取JSON数据")
             return []
-
-        try:
-            # 3. 使用json_repair修复可能不规范的JSON并解析
-            parsed_json = json_repair_loads(cleaned_text)
             
-            if not isinstance(parsed_json, list):
-                logger.error(f"解析结果不是列表，而是 {type(parsed_json)}")
-                return []
-            
-            logger.info(f"成功解析 {len(parsed_json)} 个选题对象。开始验证...")
-            
-            # 4. 验证每个选题是否包含所有必需的键
-            valid_topics = []
-            required_keys = {"index", "date", "logic", "object", "product", "style", "target_audience"}
-            
-            for i, item in enumerate(parsed_json):
-                if isinstance(item, dict) and required_keys.issubset(item.keys()):
-                    valid_topics.append(item)
-                else:
-                    logger.warning(f"第 {i+1} 个选题缺少必需键或格式不正确: {item}")
-            
-            logger.info(f"验证完成，获得 {len(valid_topics)} 个有效选题。")
-            return valid_topics
-
-        except (json.JSONDecodeError, ValueError) as e:
-            logger.error(f"解析JSON失败: {e}", exc_info=True)
-            return [] 
\ No newline at end of file
+        if not isinstance(parsed_json, list):
+            logger.error(f"解析结果不是列表，而是 {type(parsed_json)}")
+            return []
+        
+        logger.info(f"成功解析 {len(parsed_json)} 个选题对象。开始验证...")
+        
+        # 验证每个选题是否包含所有必需的键
+        valid_topics = []
+        required_keys = {"index", "date", "logic", "object", "product", "style", "target_audience"}
+        
+        for i, item in enumerate(parsed_json):
+            if isinstance(item, dict) and required_keys.issubset(item.keys()):
+                valid_topics.append(item)
+            else:
+                logger.warning(f"第 {i+1} 个选题缺少必需键或格式不正确: {item}")
+        
+        logger.info(f"验证完成，获得 {len(valid_topics)} 个有效选题。")
+        return valid_topics 
\ No newline at end of file